Arg2P: an argumentation framework for explainable intelligent systems-Reference-Cited by-同舟云学术

Arg2P: an argumentation framework for explainable intelligent systems

Published:2022-01-25 Issue: Volume: Page:
ISSN:0955-792X
Container-title:Journal of Logic and Computation
language:en
Short-container-title:

Author:

Calegari Roberta¹,Omicini Andrea²,Pisano Giuseppe¹,Sartor Giovanni¹

Affiliation:

1. Alma AI–Alma Mater Research Institute for Human-Centered Artificial Intelligence, Alma Mater Studiorum, Università di Bologna, 40121 Bologna, Italy

2. Dipartimento di Informatica–Scienza e Ingegneria (DISI), Alma Mater Studiorum,Università di Bologna, 47522, Cesena, Italy

Abstract

Abstract In this paper we present the computational model of Arg2P, a logic-based argumentation framework for defeasible reasoning and agent conversation particularly suitable for explaining agent intelligent behaviours. The model is reified as the Arg2P technology, which is presented and discussed both from an architectural and a technological perspective so as to point out its potential in the engineering of intelligent systems. Finally, an illustrative application scenario is discussed in the domain of computable law for autonomous vehicles.

Publisher

Oxford University Press (OUP)

Subject

Logic,Hardware and Architecture,Arts and Humanities (miscellaneous),Software,Theoretical Computer Science

Link

https://academic.oup.com/logcom/advance-article-pdf/doi/10.1093/logcom/exab089/42275674/exab089.pdf

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